The current study was examined and authorized by the Medical Ethics Committee of Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) under IRB Approval No. [20241-245]. All study procedures involving human participants adhered to the institutional and/or national research committee's ethical requirements, as well as the principles established in the Declaration of Helsinki and its subsequent revisions or comparable ethical standards. The equipment and the software used are listed in the Table of Materials.
1. Patients
An analysis of existing data was conducted. The participants were 168 DM patients admitted to Hunan Province People's Hospital from May 2024 to October 2024. Inclusion criteria: Meeting the diagnostic criteria for DM12; intact clinical data; age >60 years old. Exclusion criteria: Organ failure; malignant tumor(s); mental illness; poor treatment compliance; withdrawal from the research for other reasons. Patients were allocated to groups based on the nursing modality they actually received during hospitalization. To minimize selection bias, we performed propensity score matching using age, gender, BMI, and diabetes duration as covariates, achieving a 1:1 match between groups. All eligible patients meeting the inclusion criteria during the study period were included (consecutive sampling). Post-hoc power analysis revealed that with n = 168, the study had 85% power to detect a medium effect size (d=0.5) at α=0.05. Among them, 89 patients receiving LEARNS nursing were included in the research group, and the other 79 patients receiving routine nursing were included in the control group. All the subjects signed informed consent forms.
2. Nursing methods
- Routine nursing
Patients had their personal information registered after admission. Oral education was given to inform them of health education knowledge, such as the prevention and treatment of DM and complications. Additionally, patients were informed about the importance of a balanced and reasonable diet, advised to allocate calories reasonably and control their intake of high-sugar foods, and provided with educational manuals for reference. Furthermore, the nurse measured the patient's BG regularly every day and guided the patient's medication. Moreover, psychological counselling was provided, and patients were instructed to maintain a good state of mind and cooperate with treatment. Patients were also advised to exercise moderately daily and to have adequate rest.
- LEARNS nursing
In addition to the above measures, LEARNS nursing was implemented in the research group. First, a LEARNS nursing health education group was established, with specific job responsibilities and content assigned to each member. After developing a nursing plan, systematic learning and training were conducted to ensure the smooth implementation of nursing interventions (lasts for 1 week).
- Listen: Initial assessment interviews (recorded duration: 30-45 min)
Before care implementation, nursing staff first listened and communicated with patients to understand their disease-related information and needs, and established a good nurse-patient relationship through communication, so as to gain the trust of patients and enhance their treatment compliance.
- Establish: Individualized care plans based on assessment
After comprehensively understanding patients' actual conditions, concepts, personalities, etc., planned and multi-mode health education was carried out according to the different conditions of patients.
- Adopt: Educational sessions (average 3 sessions/week, 4 weeks)
In the process of collaborative learning, medical staff guided patients to identify problems, raise questions, and work together to solve them. Additionally, the patient's mastery level was assessed in a timely manner, and targeted re-education was implemented.
- Reinforce: Follow-up evaluations and reinforcement
Furthermore, nurses paid attention to changes in patients' psychological states, attached importance to improving their health awareness and self-management efficiency, and communicated with them in a timely manner to obtain feedback information, further improving the methods. Moreover, patient evaluations of the effectiveness of nursing interventions were recorded.
- Name-Strengthen: Discharge planning and community linkage
After patients were discharged from the hospital, nursing staff maintained contact with them through the Internet and closely monitored their conditions in a timely manner. New knowledge was disseminated to guide the correct use of medications. Patients were also encouraged to exercise moderately and adopt healthy eating habits. Adherence to LEARNS protocols was monitored through a review of nursing records, including documentation of session completion rates (target: 80% or higher) and patient feedback logs. Nurses received monthly audits to ensure consistency. The nursing intervention for all patients began at admission and continued for 4 weeks after discharge.
3. Outcome measures
Fingertip blood samples were collected from patients with a glycosylated hemoglobin (HbA1c) analyzer and the blood glucose (BG) monitor to compare BG control performance before and after intervention. The BG monitoring indexes mainly included HbA1C, fasting plasma glucose (FPG), and 2h postprandial BG (2hPG). The Diabetes Management Self-Efficacy Scale-Chinese Version (C-DMSES)13 was employed for the assessment of self-care ability before and after intervention from four dimensions, namely diet, exercise, medication, and BG monitoring; a higher score suggests a better self-care ability. The health behaviors of patients were evaluated using the Health-Promoting Lifestyle Profile (HPLP II)14; the score is positively associated with health behaviors. Patients' sleep quality was assessed using the Pittsburgh Sleep Quality Inventory (PSQI)15; the score range is 0 to 21, with higher scores indicating worse sleep quality. Nutritional status indicators, including albumin (ALB), hemoglobin (HGB), total serum protein (TSP), and transferrin (TRF), were measured in fasting venous blood samples collected in the early morning from both patient groups. An automatic biochemical analyzer was used for detection. The malnutrition risk level was evaluated by the Patient-Generated Subjective Global Assessment (PG-SGA)16, mainly assessing weight loss, severity of comorbidities, nutritional intake, gastrointestinal function, and age. According to the scoring results, the patient's malnutrition risk level was rated as none (0-1), low (2-3), medium (4-8), or high (≥9). An anonymous nursing satisfaction assessment was carried out at discharge, with the results classified as satisfied, basically satisfied, barely accepted, and dissatisfied. Total satisfaction = (satisfied cases+basically satisfied cases)/total number of people ×100%. All scales were used in their validated Chinese versions: C-DMSES (Cronbach's α=0.89 in Chinese elderly), HPLP-II (ICC=0.84), PSQI (α=0.82), and PG-SGA (validated in Chinese cancer patients).
4. Statistical methods
This study used SPSS 23.0 for data analysis. Gender, nursing satisfaction, and other categorical variables were represented by (%) and compared using χ2 tests. Age, FPG, and other continuous variables are presented as mean ± standard deviation (SD) and were compared using independent-sample and paired t tests. No data were missing in this study. Multivariable linear regression adjusted for baseline differences, including comorbidities and medication use. Bonferroni correction addressed multiple comparisons. Effect sizes (Cohen's d) were calculated for all continuous outcomes. In this study, P < 0.05 was considered a statistically significant difference.